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AWS Data Engineer

System One

Birmingham, ALFull-timeSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Birmingham, AL
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

System One seeks a senior AWS Data Engineer to develop, enhance, and maintain enterprise risk analytics applications in a large-scale financial services environment, focusing on cloud-based data pipelines, automation, and CI/CD practices using AWS technologies.

Skills & qualifications

RequiredNice to have

Skills

Amazon RedshiftAWS GluePythonSQLCI/CD PipelinesGenerative AIData QualityCommunicationCollaboration

Qualifications

Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science or Related Technical Field5+ Years of Hands-on Experience With AWS Based Data EngineeringFinancial Services Enterprise Risk Analytics Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Job Title: AWS Data Engineer

Duration: Full Time / Permanent Position

Location: Birmingham, AL, Knoxville, TN, Columbia, SC or Lafayette, LA.

Work Mode: 5 Days Onsite

Systemone is seeking a Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment.

This role will focus on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL. The successful candidate will work with complex business and technical requirements, develop reliable data processing solutions, and contribute to automation and CI/CD practices.

Your Future Duties and Responsibilities

As a senior level resource, this individual should be comfortable working independently, troubleshooting complex data issues, collaborating with cross functional teams, and helping drive solutions from requirements through implementation and production support. Exposure to Generative AI and opportunities to apply AI driven automation within data engineering workflows is also valuable.

Required Qualifications to Be Successful in This Role

  • 5+ years of hands-on experience with AWS based data engineering.

  • Experience with Amazon Redshift, including data processing and performance optimization.

  • Hands-on experience developing ETL/data pipelines using AWS Glue.

  • Strong Python development skills for data processing and automation.

  • Advanced SQL skills, including complex queries and large data sets.

  • Experience with CI/CD pipelines and automated deployment practices.

  • Experience developing and maintaining enterprise scale data and analytics applications.

  • Understanding of data quality, troubleshooting, performance, and production support.

  • Exposure to Generative AI (GenAI) and AI enabled automation use cases.

  • Ability to work through complex requirements with limited oversight.

  • Strong communication and collaboration skills.

  • Financial services, enterprise risk, or risk analytics experience is preferred.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

Ref: #404-IT Pittsburgh

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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